Smart infrastructures: Artificial Intelligence-Enabled lifecycle automation

Article

Fortuna, C., Yetgin, H. and Mohorčič, M. 2023. Smart infrastructures: Artificial Intelligence-Enabled lifecycle automation. IEEE Industrial Electronics Magazine. 17 (2), pp. 37-47. https://doi.org/10.1109/MIE.2022.3165673
TypeArticle
TitleSmart infrastructures: Artificial Intelligence-Enabled lifecycle automation
AuthorsFortuna, C., Yetgin, H. and Mohorčič, M.
Abstract

The deployment and maintenance of large smart infrastructures used for powering data-driven decision making, regardless of retrofitted or newly deployed infrastructures, still lack automation and mostly rely on extensive manual effort. In this article, we focus on the two main challenges in the lifecycle of smart infrastructures: deployment and operation, each of which is rather generic and applies to all infrastructures. We discuss the existing technologies designed to help improve and automate deployment and operation for smart infrastructures in general and use the smart grid as a guiding example to ground some examples across the article. Next, we identify and discuss opportunities where the broad field of artificial intelligence (AI) can help further improve and automate the lifecycle of smart infrastructures to eventually improve their reliability and drive down their deployment and operation costs. Finally, based on the usage of AI for web and social networks as well as our previous experience in AI for networks and cyber-physical systems, we provide decision guidelines for the adoption of AI.

KeywordsAutomation; Artificial intelligence; Smart devices; Software; Smart cities; Monitoring; Costs
Sustainable Development Goals9 Industry, innovation and infrastructure
Middlesex University ThemeSustainability
PublisherIEEE
JournalIEEE Industrial Electronics Magazine
ISSN1932-4529
Electronic1941-0115
Publication dates
Online03 May 2022
PrintJun 2023
Publication process dates
Accepted22 May 2022
Deposited05 Apr 2024
Output statusPublished
Accepted author manuscript
File Access Level
Open
Copyright Statement

© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Digital Object Identifier (DOI)https://doi.org/10.1109/MIE.2022.3165673
Web of Science identifierWOS:000791725600001
LanguageEnglish
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